{"id":"W2159884298","doi":"10.1007/s10439-012-0735-9","title":"A Study of Artifacts and Their Removal During Forced Oscillation of the Respiratory System","year":2013,"lang":"en","type":"article","venue":"Annals of Biomedical Engineering","topic":"Phonocardiography and Auscultation Techniques","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen Elizabeth II Health Sciences Centre; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Atlantic Canada Opportunities Agency; China Scholarship Council; Canadian Thoracic Society; Health Research Board","keywords":"Mouthpiece; Forced oscillation; Sensitivity (control systems); Wavelet; Glottis; Acoustics; Mathematics; Computer science; Electrical impedance; Artificial intelligence; Medicine; Larynx; Physics; Engineering; Surgery","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000230131,0.00007123508,0.0002419654,0.00016753,0.00001646941,0.000002085347,0.00005082626,0.00005137701,0.000002243323],"category_scores_gemma":[0.0001187749,0.00004429737,0.00008140431,0.0003100233,0.00005628358,0.00004932839,0.00003211909,0.00006640459,1.47388e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004258299,"about_ca_system_score_gemma":0.00001187073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002486696,"about_ca_topic_score_gemma":1.99062e-7,"domain_scores_codex":[0.999287,0.00002316924,0.0003234082,0.00008512841,0.0001932181,0.00008805998],"domain_scores_gemma":[0.9995115,0.00004687088,0.0001128267,0.0001570706,0.000111569,0.00006014749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003427697,0.0001321643,0.003392054,0.001157549,0.0002079547,0.000003258295,0.001539354,0.00009061384,0.9897204,0.0001007412,0.00004891293,0.003572712],"study_design_scores_gemma":[0.0007744729,0.0004778542,0.3390638,0.0008775649,0.00003043904,0.00001901495,0.001625331,0.001493272,0.655448,0.000017291,0.00009722417,0.00007568534],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987987,0.0001825513,0.000475081,0.00006867974,0.00003213982,0.0003486909,0.000002921532,0.00003814608,0.00005312597],"genre_scores_gemma":[0.9997935,0.00001459265,0.0001333249,0.00001316312,0.00002319606,0.00001210983,6.733432e-7,0.000006704091,0.000002762313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3356718,"threshold_uncertainty_score":0.1806394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02739167174732103,"score_gpt":0.2629767433794244,"score_spread":0.2355850716321034,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}